发现优秀的 MCP 服务器

OmniFocus MCP Server

Claude 的 OmniFocus 集成：让 LLM 通过模型上下文协议与您的任务交互。使用自然语言命令添加、组织和查询您的 OmniFocus 数据库。

Portfolio MCP Server

Exposes portfolio data (e.g., work experience) from a Postgres database as MCP tools, allowing Claude to answer questions about the portfolio without manual context pasting.

🌟 Unsplash MCP Server Repository

🔎 用于 Unsplash 图片搜索的 MCP 服务器。

MuJoCo MCP

Advanced robotics simulation platform enabling AI assistants to control complex physics simulations via natural language, built on MuJoCo and MCP.

testit-mcp-server

Enables interaction with TestIT test management platform, allowing management of projects, work items, test runs, test plans, and analytics.

getstoreready-mcp

Enables AI clients to manage app store projects via the GetStoreReady API, including creating projects, uploading screenshots, applying templates, updating listings, and checking project status.

mcpGraph

Enables orchestration of MCP tool calls through declarative YAML-defined directed graphs with data transformation, conditional routing, and observable execution flows.

blacksmith-mcp

Enables interaction with Blacksmith CI analytics to query workflow runs, jobs, test results, and usage metrics. It provides detailed access to CI/CD data including job logs and billing information directly through Claude.

agentminds-mcp

MCP server for AgentMinds collective intelligence platform, enabling AI agents to scan websites for security/SEO/performance issues, pull personalized recommendations, and share findings across the network.

python-dap-mcp

An MCP server that exposes Python debugging tools backed by debugpy, providing a focused debugging surface for local scripts.

PrestaShop MCP Server

Provides instant, offline access to comprehensive PrestaShop development documentation including 647+ hooks, module guides, component architecture, APIs, and theme development resources for AI assistants.

mcp-test

测试 (cè shì)

crosscheck

MCP server that automatically cross-checks claims from Reddit posts against trusted news sources and delivers a daily digest to Discord, without making final truth judgments.

raindrop-mcp

Raindrop.io (书签服务) 的 MCP 服务器

MailboxValidator Email Validation MCP Server

Email validation MCP server using MailboxValidator API to determine validity of an email address.

MCP Weather Project

An MCP server that provides real-time weather alerts for US states using the National Weather Service (NWS) API. It also includes utility features for message echoing and generating customizable greeting prompts.

cod-api MCP Server

Exposes REST API endpoints defined in an OpenAPI Specification as MCP tools, allowing AI models to call them via the ModelContext Protocol.

Sweden Invoice MCP

Lets any AI agent send Sweden B2B/B2G electronic invoices (e-faktura) over the Peppol network in Peppol BIS 3.0 / EN 16931 format via Storecove, a certified Peppol Access Point.

MCP JSON Database Server

A JSON-based database MCP server with JWT authentication that enables user management, project tracking, department analysis, meeting management, and equipment tracking. Integrates with Claude Desktop to provide secure CRUD operations and analytics through natural language commands.

EPSS MCP Server

A server that retrieves CVE details from the NVD API and fetches EPSS scores to provide comprehensive vulnerability information, including descriptions, CWEs, CVSS scores, and exploitation likelihood percentiles.

sevdesk MCP Server

Enables integration with sevdesk accounting software for managing contacts, invoices, vouchers, bank accounts, and articles through natural language.

魂斗罗 MCP Demo

Enables creating a Contra-style game session that can be played inline in MCP-compatible clients or via a browser fallback URL.

MySQL MCP Server

Enables direct interaction with MySQL databases through SQL queries, table exploration, and schema inspection with support for prepared statements and connection pooling.

Devici MCP Server

Provides LLM tools to interact with the Devici API, enabling management of threat modeling resources including users, collections, threat models, components, threats, mitigations, and teams.

memory-engine-mcp

An MCP server that provides persistent memory for AI agents by storing session snapshots, factual memories, and conversation summaries. It enables seamless continuity between interactions by allowing agents to restore previous emotional states and recall relevant past experiences.

Minimal MCP Server

好的，以下是一个 Model Context Protocol (MCP) 服务器的最小实现，用 Python 编写，并使用 `asyncio` 库进行异步操作。 这个例子展示了如何监听连接，接收消息，并发送简单的响应。 ```python import asyncio import json async def handle_client(reader, writer): """处理单个客户端连接.""" addr = writer.get_extra_info('peername') print(f"连接来自 {addr}") try: while True: data = await reader.read(1024) # 读取最多 1024 字节 if not data: break message = data.decode() print(f"接收到消息: {message}") try: # 尝试解析 JSON request = json.loads(message) # 在这里添加你的 MCP 逻辑 # 例如，根据请求类型执行不同的操作 if "method" in request: method = request["method"] if method == "ping": response = {"result": "pong"} elif method == "get_model_info": response = {"result": {"model_name": "MyModel", "version": "1.0"}} # 示例模型信息 else: response = {"error": "Unknown method"} else: response = {"error": "Invalid request"} response_json = json.dumps(response) writer.write(response_json.encode()) await writer.drain() # 刷新缓冲区 print(f"发送响应: {response_json}") except json.JSONDecodeError: print("接收到无效的 JSON") writer.write(b'{"error": "Invalid JSON"}') await writer.drain() except ConnectionError as e: print(f"连接错误: {e}") finally: print(f"关闭连接 {addr}") writer.close() await writer.wait_closed() async def main(): """启动服务器.""" server = await asyncio.start_server( handle_client, '127.0.0.1', 8888) # 监听本地地址 127.0.0.1 端口 8888 addr = server.sockets[0].getsockname() print(f'服务于 {addr}') async with server: await server.serve_forever() if __name__ == "__main__": asyncio.run(main()) ``` **代码解释:** 1. **`handle_client(reader, writer)` 函数:** - 这是处理每个客户端连接的主要函数。 - `reader` 和 `writer` 是 `asyncio.StreamReader` 和 `asyncio.StreamWriter` 对象，用于读取和写入数据。 - `writer.get_extra_info('peername')` 获取客户端的地址。 - `reader.read(1024)` 从客户端读取最多 1024 字节的数据。 - `data.decode()` 将接收到的字节数据解码为字符串。 - `json.loads(message)` 尝试将接收到的消息解析为 JSON 对象。 - **MCP 逻辑:** 这是代码的核心部分，你需要根据 MCP 协议的要求实现你的逻辑。 在这个例子中，它检查请求中是否存在 "method" 字段，并根据方法名称返回不同的响应。 `ping` 方法返回 `pong`，`get_model_info` 返回一个示例模型信息。 - `json.dumps(response)` 将响应转换为 JSON 字符串。 - `writer.write(response_json.encode())` 将 JSON 字符串编码为字节数据并发送给客户端。 - `await writer.drain()` 刷新缓冲区，确保数据被发送。 - `writer.close()` 关闭连接。 - `await writer.wait_closed()` 等待连接完全关闭。 - 异常处理：包括 `json.JSONDecodeError` 处理无效的 JSON，以及 `ConnectionError` 处理连接错误。 2. **`main()` 函数:** - `asyncio.start_server(handle_client, '127.0.0.1', 8888)` 启动一个 TCP 服务器，监听本地地址 127.0.0.1 的 8888 端口。 `handle_client` 函数将处理每个新的客户端连接。 - `server.serve_forever()` 运行服务器，直到手动停止。 3. **`if __name__ == "__main__":` 块:** - 确保 `asyncio.run(main())` 只在脚本直接运行时执行，而不是作为模块导入时执行。 **如何运行:** 1. **保存代码:** 将代码保存为 `mcp_server.py`。 2. **运行脚本:** 在终端中运行 `python mcp_server.py`。 **如何测试:** 你可以使用 `telnet` 或 `netcat` 等工具来连接服务器并发送 MCP 请求。 例如： ```bash telnet 127.0.0.1 8888 ``` 然后，你可以发送一个 JSON 请求，例如： ```json {"method": "ping"} ``` 服务器应该返回： ```json {"result": "pong"} ``` 或者发送： ```json {"method": "get_model_info"} ``` 服务器应该返回： ```json {"result": {"model_name": "MyModel", "version": "1.0"}} ``` **重要注意事项:** * **错误处理:** 这个例子只包含基本的错误处理。 在实际应用中，你需要添加更完善的错误处理机制，例如记录错误日志，返回更详细的错误信息给客户端。 * **安全性:** 这个例子没有考虑安全性。 在生产环境中，你需要采取安全措施，例如身份验证、授权、加密等。 * **MCP 协议:** 这个例子只是一个框架。 你需要根据 MCP 协议的规范来实现你的 MCP 逻辑。 这包括定义消息格式、方法名称、参数、返回值等。 * **异步编程:** `asyncio` 是一个强大的异步编程库。 如果你不熟悉 `asyncio`，建议先学习一下 `async` 和 `await` 的用法。 * **依赖:** 这个例子只依赖于 Python 的标准库 `asyncio` 和 `json`，不需要安装额外的依赖。 * **扩展性:** 这个例子是一个最小实现。 你可以根据需要扩展它，例如添加多线程支持、使用更高效的序列化方法、支持更多的 MCP 方法等。 **下一步:** 1. **定义你的 MCP 协议:** 明确你的 MCP 协议的规范，包括消息格式、方法名称、参数、返回值等。 2. **实现你的 MCP 逻辑:** 根据你的 MCP 协议，实现 `handle_client` 函数中的 MCP 逻辑。 3. **添加错误处理:** 添加更完善的错误处理机制。 4. **考虑安全性:** 采取安全措施，例如身份验证、授权、加密等。 5. **测试和调试:** 充分测试和调试你的服务器。 这个最小实现为你提供了一个起点。 你可以根据你的具体需求来扩展和修改它。

Shopify MCP Server

Enables interaction with Shopify store data through the GraphQL API, providing tools for managing products, customers, orders, and collections.

gemini-sidekick

A remote MCP connector deployed as a Cloudflare Worker that gives Claude access to Google Gemini models, enabling image generation/editing, model auditing, and large context digesting.

lightpanda-mcp-server

MCP server for Lightpanda headless browser enabling ultra-fast HTML extraction, markdown conversion, and JavaScript execution with 16x lower memory footprint than Chrome.